OcrV1, Main, Exploration, bibRecord, 000D31

An Improved Physically-Based Method for Geometric Restoration of Distorted Document Images

Identifieur interne : 000D31 ( Main/Exploration ); précédent : 000D30; suivant : 000D32

An Improved Physically-Based Method for Geometric Restoration of Distorted Document Images

Auteurs : LI ZHANG [Singapour] ; YU ZHANG [Singapour] ; CHEW LIM TAN [Singapour]

Source :

IEEE transactions on pattern analysis and machine intelligence [ 0162-8828 ] ; 2008.

RBID : Pascal:08-0175238

Descripteurs français

Pascal (Inist)
- Intelligence artificielle, Analyse forme, Numérisation, Formation image, Forme géométrique, Contenu image, Reconnaissance caractère, Reconnaissance optique caractère, Restauration image, Traitement image, Gauchissement, Aplatissement, Métrique, Flexion, Transformation géométrique, Système masse ressort, Modélisation, Intégration numérique.
Wicri :
- topic : Intelligence artificielle, Numérisation.

English descriptors

KwdEn :
- Artificial intelligence, Bending, Character recognition, Digitizing, Flattening, Geometric transformation, Geometrical shape, Image content, Image processing, Image restoration, Imaging, Metric, Modeling, Numerical integration, Optical character recognition, Pattern analysis, Spring mass system, Warping.

Abstract

-In document digitization through camera-based systems, simple imaging setups often produce geometric distortions in the resultant 2D images because of the nonplanar geometric shapes of certain documents such as thick bound books, rolled, folded, or crumpled materials, etc. Previous work [1], [2], [3], [4] has demonstrated that arbitrary warped documents can be successfully restored by flattening a 3D scan of the document. These approaches use physically-based or relaxation-based techniques in their flattening process. While this has been demonstrated to be effective in rectifying the image content and improving OCR, these previous approaches have several limitations in terms of speed and stability. In this paper, we propose a distance-based penalty metric to replace the mass-spring model and introduce additional bending resistance and drag forces to improve the efficiency of the existing approaches. The use of Verlet integration and special plane collision handling schemes also help to achieve better stability without sacrificing efficiency. Experiments on various document images captured from books, brochures, and historical documents with arbitrary warpings have demonstrated large improvements over the existing approaches in terms of stability and efficiency.

Affiliations:

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Le document en format XML

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<front><div type="abstract" xml:lang="en">-In document digitization through camera-based systems, simple imaging setups often produce geometric distortions in the resultant 2D images because of the nonplanar geometric shapes of certain documents such as thick bound books, rolled, folded, or crumpled materials, etc. Previous work [1], [2], [3], [4] has demonstrated that arbitrary warped documents can be successfully restored by flattening a 3D scan of the document. These approaches use physically-based or relaxation-based techniques in their flattening process. While this has been demonstrated to be effective in rectifying the image content and improving OCR, these previous approaches have several limitations in terms of speed and stability. In this paper, we propose a distance-based penalty metric to replace the mass-spring model and introduce additional bending resistance and drag forces to improve the efficiency of the existing approaches. The use of Verlet integration and special plane collision handling schemes also help to achieve better stability without sacrificing efficiency. Experiments on various document images captured from books, brochures, and historical documents with arbitrary warpings have demonstrated large improvements over the existing approaches in terms of stability and efficiency.</div>
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An Improved Physically-Based Method for Geometric Restoration of Distorted Document Images

An Improved Physically-Based Method for Geometric Restoration of Distorted Document Images

Source :

Descripteurs français

English descriptors

Abstract

Links toward previous steps (curation, corpus...)

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri